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Vegetation types and patterns in Senegal based on multivariate analysis of field and NOAA‐AVHRR satellite data
Author(s) -
Frederiksen Peter,
Lawesson Jonas Erik
Publication year - 1992
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.2307/3235810
Subject(s) - vegetation (pathology) , canonical correspondence analysis , multivariate statistics , multispectral image , satellite imagery , vegetation classification , remote sensing , canonical correlation , environmental science , geography , physical geography , vegetation types , multispectral pattern recognition , ecology , abundance (ecology) , habitat , biology , mathematics , statistics , medicine , pathology
. Woody vegetation was studied in 44 sites in Senegal. Species composition and density were analysed with TWINSPAN and Canonical Correspondence Analysis; 16 vegetation types were defined. A supervised, multispectral and multitemporal classification of day and night, dry season NOAA‐AVHRR imagery was used to identify their distribution with a classification accuracy ranging from 60–100%.